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Informix 查询存在一些性能问题。如何分析这些查询以缩小问题的根源?

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select  der.session_id,
der.blocking_session_id, 
der.wait_type, 
der.wait_time,
der.start_time, 
DATEDIFF(second,der.start_time,GETDATE())/60.0 AS executeTime_Minutes,
percent_complete,
der.status as requestStatus, 
des.login_name, 
cast(db_name(der.database_id) as varchar(30)) as databaseName,
 des.program_name,
 der.command as commandType,
der.percent_complete,
case des.transaction_isolation_level
 when 0 then 'Unspecified' when 1 then 'ReadUncomitted'
 when 2 then 'ReadCommitted' when 3 then 'Repeatable'
 when 4 then 'Serializable' when 5 then 'Snapshot'
 end as transaction_isolation_level,
char(13) + char(10) + Current Command + char(13) + char(10) + 
case when der.statement_end_offset = -1 then 

--see objectText-- else SUBSTRING(execText.textder.statement_start_offset/2, (der.statement_end_offset - der.statement_start_offset)/2) end + char(13) + char(10) + '------完整对象------------' AS currentExecutingCommand, execText.text as objectText from sys.dm_exec_sessions des --返回有关 SQL Server 实例上每个用户和内部系统会话的信息,包括会话设置、安全性和累积CPU、内存和 I/O 使用加入 sys.dm_exec_requests as der -- sys.dm_exec_requests DMV 向我们展示了当前在 der.session_id = des.session_id 上运行的内容
-- 在 SQL Server 实例上,它对内存、CPU、磁盘和缓存的影响。外部应用 sys.dm_exec_sql_text(der.sql_handle) 作为 execText 其中 --des.session_id <> @@spid 和 des.session_id > 40;

于 2013-10-11T18:53:39.400 回答
1

这里:-

Informix 为收集详细的 SQL 查询计划和执行统计信息而提供的最全面的工具是 SET EXPLAIN 实用程序。该实用程序将生成一个名为 sqexplain.out 的文件,并详细记录查询执行的每一步。此外,它还提供查询的估计成本并估计查询结果。通过检查 SET EXPLAIN 输出文件,您可以确定是否可以采取措施来提高查询的性能。以下示例显示了一个非常复杂的查询的 set explain 输出:

SELECT --+AVOID_FULL(omchn)+AVOID_FULL(daphn)
                omchn.omc_hn_uanc,
                nvl(daphn.gtt_version,"0000000000000000000"),
                nvl(idachn.egt4_version,"0000000000000000000"),
                nvl(ihlrhn.hlr_timestamp,"00000000000000"),
                vsgw_hn.hn_igw_uanc,
                nvl(vsgw_hn.hn_igw_version, "00000000000000")
           FROM omchn, daphn, idachn, ihlrhn, vsgw_hn
          WHERE daphn.dap_hn_inst  = omchn.omc_hn_inst
            AND idachn.idac_hn_inst = omchn.omc_hn_inst
            AND ihlrhn.hlr_hn_inst = omchn.omc_hn_inst
            AND vsgw_hn.vsgw_hn_inst = omchn.omc_hn_inst

DIRECTIVES FOLLOWED:
AVOID_FULL ( omchn )
AVOID_FULL ( daphn )
DIRECTIVES NOT FOLLOWED:

Estimated Cost: 8
Estimated # of Rows Returned: 1

  1) root.idachn: SEQUENTIAL SCAN

  2) root.daphn: INDEX PATH

    (1) Index Keys: dap_hn_inst   (Serial, fragments: ALL)
        Lower Index Filter: root.daphn.dap_hn_inst = root.idachn.idac_hn_inst
NESTED LOOP JOIN

  3) root.vsgw_hn: SEQUENTIAL SCAN
NESTED LOOP JOIN

  4) root.omchn: INDEX PATH

                Filters: root.vsgw_hn.vsgw_hn_inst = root.omchn.omc_hn_inst
            (1) Index Keys: omc_hn_inst   (Serial, fragments: ALL)
      Lower Index Filter: root.idachn.idac_hn_inst = oot.omchn.omc_hn_inst
NESTED LOOP JOIN

     5) root.ihlrhn: INDEX PATH

            (1) Index Keys: hlr_hn_inst   (Serial, fragments: ALL)
      Lower Index Filter: root.ihlrhn.hlr_hn_inst = root.omchn.omc_hn_inst
NESTED LOOP JOIN
于 2013-10-27T07:34:07.393 回答